The invention discloses a
myelofibrosis grading prediction method and
system of a full-slice image and a storage medium. The method comprises the steps of obtaining the full-slice image and a corresponding
pathological detection report; inputting the full-slice image and the
pathological detection report into a grading prediction model; through the hierarchical prediction model, according to the full-slice image, obtaining a full-slice image feature and a first block image feature; through the hierarchical prediction model, obtaining a first report feature and a first word segmentation feature according to the
pathological detection report; reconstructing the first word segmentation feature according to the first block image feature to obtain a second word segmentation feature; obtaining a second report feature according to the second word segmentation feature; fusing the full-slice image features with the second report features to obtain fused features; and performing
myelofibrosis grading prediction on the full-slice image according to the fusion features. By combining the full-slice image and the pathological detection report, the accuracy of grading prediction of
myelofibrosis is improved.